Jupyter
Looker
Databricks
Google BigQuery
Presto DB
Rakam
Informatica
Concurrent
Graphviz
PlantUML
draw.io
yEd
Gephi
Dia
LucidChart
UMLGraph
Jupyter GraphvizBased on our record, Jupyter should be more popular than Graphviz. It has been mentiond 205 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
JupyterLab: JupyterLab is an interactive development environment that allows you to create and share documents containing live code, equations, visualizations, and narrative text. It's particularly well-suited for data science and research-oriented projects. - Source: dev.to / 11 days ago
Jupyter Lab web-based interactive development environment. - Source: dev.to / 22 days ago
Choosing IDE: Selecting a suitable Integrated Development Environment (IDE) is crucial for efficient coding. Consider popular options such as PyCharm, Visual Studio Code, or Jupyter Notebook. Install your preferred IDE and ensure it's configured to work with Python. - Source: dev.to / 17 days ago
Jupyter Notebooks is very popular among data people specially Python users. So, I tried to find a way to run the Groovy kernel inside a Jupyter Notebook, and to my surprise, I found a way, BeakerX! - Source: dev.to / 2 months ago
Note. Nowadays, there are many flavors of notebooks (Jupyter, VSCode, Databricks, etc.), but they’re all built on top of IPython. Therefore, the Magics developed should be reusable across environments. - Source: dev.to / 2 months ago
Conventions exist but they're mostly crap. Along the KISS principle, boxed elements with connecting nodes are the best (most universally understood). In mathematical terms, this is an 'undirected graph', a 'directed graph' is the same but with directionality on the links between nodes. The standard toolkit for defining these in software is https://graphviz.org/ If you need to show the interaction between elements... - Source: Hacker News / 5 days ago
Thoughtful post, thanks. However, this tripped me up: "our GPU graph viz server" -- I couldn't understand how you a) scale graphviz[1] on a GPU and b) make money hosting graphviz. Quick read of your web site cleared that up :) [1] https://graphviz.org/. - Source: Hacker News / 3 months ago
Tracing flows: breakdown complex UDP/TCP ECMP traces into individual flows (i.e. Common network path); render a chart of flows in GraphViz DOT format (example). Source: 5 months ago
It has the look of graphviz about it, which is an excellent tool. Often helpful in debugging anything related to graphs. https://graphviz.org/. - Source: Hacker News / 8 months ago
If you are talking about making visualisations for other people it would depend if you want to make them interactive, static, or a mix of the two. I’m not really sure what to recommend given I don’t know - but here are a few places to start: - Python tutor - manim - processing - graphviz - simple but good - draw.io. Source: 11 months ago
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
PlantUML - PlantUML is an open-source tool that uses simple textual descriptions to draw UML diagrams.
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
draw.io - Online diagramming application
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
yEd - yEd is a free desktop application to quickly create, import, edit, and automatically arrange diagrams. It runs on Windows, Mac OS X, and Unix/Linux.